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AppWizzy vs Maced AI

Bottom line

AppWizzy has a free plan plus paid upgrades, while Maced AI is paid. You can run Maced AI on your own machine or server; AppWizzy is hosted by the vendor.

Which one should you try?

AppWizzy

Freemium

Best for Startup founders and entrepreneurs building MVPs on limited budgets

Visit AppWizzy See full review

Maced AI

Paid

Best for Engineering teams seeking continuous automated security validation

Visit Maced AI See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

AppWizzy

AppWizzy

The vendor describes a workflow where you describe what you want in plain English, the AI generates an architecture plan and database schema, you pick a template or start blank, and the result deploys with a CI/CD pipeline into a persistent hosted environment — not a throwaway preview. Gemini CLI or Codex drives iterative edits, streaming file changes back so you can accept, revert, or push again. The free tier is limited to a handful of credits per month, which gets you a prototype but not sustained development. Teams building past that ceiling move to paid credits fast, and the daily hosting cost accrues even when the app is idle — pausing the environment is the workaround the docs describe.

Maced AI

Maced AI

Maced deploys AI agents that crawl, fuzz, and attempt exploitation across your web apps, APIs, source code, and cloud infrastructure — then deliver audit-grade reports with proof-of-exploit payloads and merge-ready fix PRs. Every finding is auto-validated before it surfaces, which means triage queues shrink instead of growing. The continuous monitoring model means your attack surface is tested on every deploy, not just once a quarter. The ceiling shows up when your environment demands the kind of adversarial creativity a seasoned human tester brings to a novel business-logic flaw — agents that follow a structured probe loop will miss what only lateral thinking finds. Teams with that requirement use Maced for baseline and point a human at what the agents flag as high-severity.

AttributeAppWizzyMaced AI
PricingFreemiumPaid
Price$18/mo$249/mo
Pricing checkedJun 11, 2026Jun 11, 2026
Free trialNot statedNot stated
Open sourceNoNo
Has APIYesYes
Self-hosted optionNoYes
PlatformsWeb-based SaaS platform; cloud-hosted on Google Cloud infrastructureWeb-based SaaS; on-premises and air-gapped deployment available
Released2025-10—
Pros
  • Runs on a real VM with your chosen stack (PHP, Python, Node/Next, Postgres, MySQL), which means the app you prototype is the app you deploy — no rewrite required when you outgrow a sandbox.
  • AI-driven iterative editing loop streams stdout/stderr and file diffs back to you before committing, so you review every change rather than discovering breakage after the fact.
  • Git-native output with branch management and VS Code support, which means your team inherits a normal codebase they can maintain, extend, or hand off without being locked into the platform's editor.
  • Transparent, usage-based pricing across three explicit buckets (AI tokens, hosting, template license), so runaway costs surface immediately rather than appearing as a surprise invoice at month end.
  • "Bad-AI" edit refund policy credits back broken edits flagged within ten minutes, which reduces the risk of burning credits on a generation that corrupts your working state.
  • Auto-validation with proof-of-exploit payloads for every finding, so your team stops spending sprint time manually reproducing scanner noise before deciding whether to act.
  • Merge-ready fix PRs generated and retested automatically, which means remediation moves from 'ticket in backlog' to 'reviewed and merged' without a separate engineering investigation cycle.
  • Continuous scanning triggered on every deploy rather than quarterly, so a misconfiguration introduced in Tuesday's PR is caught before it reaches production — not six weeks later in an audit.
  • SOC 2 and ISO 27001 audit-ready report output, so compliance documentation is a byproduct of your normal security workflow rather than a separate manual engagement you schedule and budget for.
  • Self-hosted deployment option, so teams operating in air-gapped or strict data-residency environments can run the platform without routing source code or infrastructure details through a third-party cloud.
Cons
  • No self-hosted option exists — teams operating under data-residency or compliance requirements that prohibit third-party cloud hosting hit this wall before they write a single line of logic, and the only exit is exporting the generated code and running it themselves elsewhere.
  • The free tier provides a small monthly credit allocation that covers a single prototype pass but not iterative development; teams doing anything beyond a first-draft MVP exhaust the free tier quickly and begin accruing hosting costs daily even for idle apps, with pausing the VM as the only cost-control lever.
  • The AI generation model is optimized for standard SaaS and CRUD application patterns — teams whose projects require custom multi-tenant isolation, event-driven architectures, or non-standard infrastructure configurations find the scaffolded output needs significant manual rework, at which point the platform's agent loop adds less value and developers move the project into a conventional development environment.
  • Agents follow a structured crawl-fuzz-exploit loop, which means multi-step business-logic attacks that require contextual judgment — an attacker who knows your domain and chains three unrelated weak points — fall outside what the platform reliably discovers. Teams whose threat model centers on that class of vulnerability still require a human penetration tester; Maced becomes a first-pass filter, not a full engagement replacement.
  • The platform is paid-only with no free tier beyond an initial scan, so teams evaluating at scale against a large or complex environment cannot fully assess fit before committing to a subscription — at which point switching cost is real if the agents' coverage does not match the environment's actual attack surface.
  • White-box testing requires handing over source code access, and for teams at organizations where that creates legal, contractual, or procurement friction, onboarding stalls at the approval stage rather than the technical one — a problem self-hosting solves only if your ops team has bandwidth to stand up and maintain the infrastructure.

Made up your mind?

AppWizzy

Freemium

Best for Startup founders and entrepreneurs building MVPs on limited budgets

Visit AppWizzy See full review

Maced AI

Paid

Best for Engineering teams seeking continuous automated security validation

Visit Maced AI See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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